Evidence map›Paper›PMID 31235468›Full record

ArticleeNeuro

Rodent Activity Detector (RAD), an Open Source Device for Measuring Activity in Rodent Home Cages.

Bridget A Matikainen-Ankney, Marcial Garmendia-Cedillos, Mohamed Ali, Jonathan Krynitsky, Ghadi Salem, Nanami L Miyazaki, Tom Pohida, Alexxai V Kravitz

Abstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Bridget A Matikainen-AnkneyNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892.
Marcial Garmendia-CedillosSignal Processing and Instrumentation Section, Office of Intramural Research, Center for Information Technology (CIT), National Institutes of Health, Bethesda, MD 20814.
Mohamed AliNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892.
Jonathan KrynitskySignal Processing and Instrumentation Section, Office of Intramural Research, Center for Information Technology (CIT), National Institutes of Health, Bethesda, MD 20814.
Ghadi SalemSignal Processing and Instrumentation Section, Office of Intramural Research, Center for Information Technology (CIT), National Institutes of Health, Bethesda, MD 20814.
Nanami L MiyazakiNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892.
Tom PohidaSignal Processing and Instrumentation Section, Office of Intramural Research, Center for Information Technology (CIT), National Institutes of Health, Bethesda, MD 20814.ORCID 0000-0002-6093-2251
Alexxai V KravitzNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892 lex.kravitz@gmail.com.ORCID 0000-0001-5983-0218

Funding

Signal Processing And Instrumentation SectionZIACT000261 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI POHIDA, THOMAS J · 2009 to 2021
$16.7M
Does the Drd2 receptor play a causal role in obesity?ZIADK075096 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KRAVITZ, ALEXXAI V · 2013 to 2019
$3.1M
Creating an open source operant and feeding aparatusZIADK075099 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KRAVITZ, ALEXXAI V · 2013 to 2019
$1.3M
Novel use of video analysis to assay weight and body featuresZIADK075103 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KRAVITZ, ALEXXAI V · 2013 to 2019
$1.3M
Intramural NIH HHS ZIA DK075099
6 · The paper itself

Abstract

Physical activity is a critical behavioral variable in many research studies and is, therefore, important to quantify. However, existing methods for measuring physical activity have limitations which include high expense, specialized caging or equipment, and high computational overhead. To address these limitations, we present an open-source, cost-effective, device for measuring rodent activity. Our device is battery powered and designed to be placed in vivarium home cages to enable high-throughput, long-term operation with minimal investigator intervention. The primary aim of this study was to assess the feasibility of using passive infrared (PIR) sensors and microcontroller-based dataloggers in a rodent home cages to collect physical activity records. To this end, we developed an open-source PIR based data-logging device called the rodent activity detector (RAD). We publish the design files and code so others can readily build the RAD in their own labs. To demonstrate its utility, we used the RAD to collect physical activity data from 40 individually housed mice for up to 10 weeks. This dataset demonstrates the ability of the RAD to (1) operate in a high-throughput installation, (2) detect high-fat diet (HFD)-induced changes in physical activity, and (3) quantify circadian rhythms in individual animals. We further validated the data output of the RAD with simultaneous video tracking of mice in multiple caging configurations, to determine the features of physical activity that it detects. The RAD is easy to build, economical, and fits in vivarium caging. The scalability of such devices will enable high-throughput studies of physical activity in research studies.

Indexed as

Behavior, AnimalMotor ActivityAnimalsAutomation, LaboratoryEquipment DesignInfrared RaysMaleMice, Inbred C57BLPattern Recognition, Automatedcontinuous activity monitoringhome cagemotion detectorphysical activity

Identifiers

PMID31235468
PMCPMC6620392

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.